Job Description

Office Location: Lower Manhattan, NY

Accrete is a dynamic and innovative company focused on transforming the future of artificial intelligence. We specialize in creating advanced AI solutions that turn complex data into actionable insights, driving real-world impact for businesses and government organizations. Our team thrives on creativity and collaboration, working together to push the boundaries of AI technology.

At the core of our offerings are our AI agents, designed to autonomously analyze data, generate insights, and make intelligent recommendations. These agents help businesses streamline operations, improve decision-making, and also empower government entities to enhance security, intelligence, and operational efficiency

We are looking for a talented Machine Learning Engineer to join our Engineering team and contribute to the evolution of our AI products.

Responsibilities:

• Design, develop, and optimize machine learning models and pipelines for deployment in production environments.
• Build scalable and efficient ML infrastructure to support data ingestion, model training, evaluation, and deployment.
• Collaborate with data scientists, engineers, and product teams to integrate ML solutions into Accrete's platform.
• Implement best practices for model performance monitoring, versioning, and retraining.
• Work with cloud-based platforms and distributed computing frameworks to improve system efficiency.
• Optimize feature engineering, data preprocessing, and training workflows to improve model accuracy and efficiency.
• Ensure adherence to MLOps principles, including automation, CI/CD for ML, and reproducibility.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or a related field.
• 3+ years of experience in designing and deploying machine learning models in production.
• Strong programming skills in Python and proficiency in ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn .
• Experience with cloud platforms (AWS preferred) and containerization technologies (Docker, Kubernetes).
• Proficiency in distributed computing frameworks like Spark, Ray, or Dask .
• Experience with MLOps tools and techniques, including CI/CD for ML, model versioning, and monitoring.
• Familiarity with large-scale data processing, data engineering principles, and feature stores.
• Strong problem-solving skills, a proactive mindset, and the ability to work in a fast-paced, collaborative environment.

Preferred Qualifications:

• Experience with reinforcement learning, NLP, or deep learning applications.
• Knowledge of graph-based ML, generative AI, or other advanced ML techniques.
• Exposure to edge AI and model optimization techniques (e.g., quantization, pruning).
• Contributions to open-source ML projects or publications in AI conferences.

Salary Range: 140k-180k

The salary range provided reflects the estimated compensation for this role based on the expected qualifications and experience level. The final offer may vary depending on factors such as skills, experience, and alignment with role requirements.

Cultural Fit & Values

At Accrete, success goes beyond technical expertise—we value innovation, collaboration, and accountability. Our team members embody:

• Ownership & Accountability – Drive projects to completion with high standards and proactive problem-solving.
• Transparency & Communication – Share information openly, give and receive constructive feedback.
• Strategic Thinking & Problem -Solving – Analyze challenges critically and implement effective solutions.
• Collaboration & Professionalism – Work as a team, contribute meaningfully, and uphold mutual respect.
• Passion for AI & Innovation – Stay curious, continuously learn, and push AI's potential.
• Going Beyond the Job Description – Seek opportunities to contribute beyond core responsibilities.

These principles shape our culture, performance evaluations, and growth opportunities, ensuring we build a mission-driven organization together.

Company Benefits

• Competitive Salary: Aligned with experience and market standards.
• Comprehensive Insurance: Health, dental, and vision coverage to keep you and your family secure.
• 401(k) Plan: Build your financial future with our retirement savings plan.
• Flexible PTO & Hybrid Work: Take time off when you need it and enjoy remote flexibility per company guidelines.
• Growth & Development: Access professional development, learning opportunities, and career advancement support.
• Onsite Perks: Enjoy catered lunches, snacks, and a stocked kitchen.
• Team Bonding: Company-sponsored happy hours and social events to connect and unwind.

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